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Kerala girl develops AI app to detect eye diseases at age 11 named it Ogler EyeScan

Leena Rafeeq, an 11-year-old Malayali girl living in Dubai has developed an AI app to detect eye diseases and conditions. She is a self-taught coder who shared her achievement on LinkedIn. Leena’s accomplishment received a lot of attention on social media.

Leena Rafeeq uses a novel scanning method on an iPhone and stated that the app is currently being reviewed in Apple’s app store and hopes it will be approved soon. The Artificial Intelligence application is named ‘Ogler EyeScan’ and began working on the app at 10 years of age. Leena claimed that the app can detect eye diseases like Arcus, Melanoma, Pterygium, and Cataracts. The app was developed natively with SwiftUI interface without the use of third-party libraries or packages. It took her six months of research and development to bring this innovative app to life.

Ogler EyeScan uses advanced computer vision and Machine learning to analyze parameters such as light and color intensity, distance, and look-up points to locate the eyes within the frame’s range. It also detects any light burst issue and whether the eyes are exactly inside the scanner frame. She researched for six months and learned more about eye conditions, computer vision, algorithms, ML models, and advanced levels of Apple iOs development including sensors day, AR, CreateML, and CoreML during the app’s development process. Leena then submitted the app to the app store and that the app is only compatible with iPhones 10 and up running iOS 16+.  Many users praised her creativity and congratulated her accomplishment at such a young age.

“A good example of how we can use AI to reduce/curtail health equity.” “Excellent work,” said one user.

“Wow, that’s amazing!” said a third. You have accomplished so much with Ogler EyeScan, and I wish you the best of luck and some fantastic app store reviews,” said another.

Leena responded to these users about the app’s accuracy, stating it’s nearly 70%. She did, however, mention the difficulties she had with the glare and bursts from lights caused by the distance required for capturing scans. As a result, metrics and detection for light-related issues are being implemented to address the issue so that it allows users to take scans. Also, she stated that an update will be released once the Ogler EyeScan app is accepted by the app store.